Autonomous grounds maintenance machines with path planning for trap and obstacle avoidance

ABSTRACT

Operating an autonomous grounds maintenance machine includes determining a travel path for the machine to reach a destination waypoint in a zone of a work region. The travel path is analyzed for problem areas based on a predetermined terrain map. Rotations of the machine may be planned even before the machine begins to travel down the path to proactively prevent the machine from becoming trapped.

The present application is continuation of U.S. application Ser. No.16/422,153, filed May 24, 2019, which claims the benefit of U.S.Provisional Application Ser. No. 62/676,379, filed May 25, 2018, andU.S. Provisional Application Ser. No. 62/801,267, filed Feb. 5, 2019,all of which are incorporated by reference.

Embodiments described herein are directed to autonomous groundsmaintenance machines and, in particular, to path planning for autonomousgrounds maintenance machines to avoid becoming trapped and to avoidobstacles.

Grounds maintenance machines, such as lawn and garden machines, areknown for performing a variety of tasks. For instance, powered lawnmowers are used by both homeowners and professionals alike to maintaingrass areas within a property or yard.

Lawn mowers that autonomously perform the grass cutting function arealso known. Autonomous lawn mowers are typically battery-powered and areoften limited to cutting only a portion of the property before requiringre-charging, which typically requires the mower to return to a chargingbase station. Further, many autonomous lawn mowers are powered by adifferential drive system, meaning that only two wheels are powered ateither the front or rear of the mower. This simplifies the power trainfor operation compared to a four-wheel or all-wheel drive system.Autonomous lawn mowers also generally cut grass in a random travelpattern within a fixed property boundary. The terrain within the fixedproperty boundary may cause problems for some autonomous lawn mowers,particularly those with differential drive systems. For example, oneproblem area is a slope with a steep grade sufficient to cause a loss oftraction of the differentially driven wheels. In particular, lawn mowersthat approach a boundary at a steep grade downhill may become stuckafter stopping and attempting to move away from the boundary.

To deal with such problem areas, some autonomous lawn mowers react tovariations of the terrain in the fixed property boundary by takingevasive action. For example, evasive maneuvers may be triggered when alevel detector senses that the autonomous lawn mower is on asufficiently steep grade (i.e., too steep for traction). Evasive actionsmay include reversing course or rotating the lawn mower to exit theproblem area.

While sometimes effective, the level detector does not prevent theautonomous mower from becoming stuck in all situations, especially whenapproaching a boundary. Because the level detector can only sense whenthe lawn mower has already reached a steep grade, the autonomous mowermay have already lost the ability to reverse or turn away from theboundary by the time the steep grade is sensed by the level detector.The loss of traction may impede the ability of the autonomous mower tocontinue cutting grass throughout an intended work region. The inabilityto recover traction may diminish the effectiveness of an autonomousmower. In addition, the evasive actions taken when already on the steepgrade may work for a period of time but will eventually wear down thesurface so subsequent evasive actions in that area may eventually failand the robot may become stuck. Taking evasive actions on steep gradewill also damage the turf, further reducing traction and may requirerepair in the future.

In addition to potential steep grades, the terrain may include obstaclesin the path of the autonomous lawn mower. Such obstacles may impede theability of the autonomous mower to effectively cover the intended workregion. The effectiveness of the autonomous mower may be further reducedwhen obstacles are present.

SUMMARY

Embodiments of the present disclosure relate to path planning forautonomous grounds maintenance machines to avoid becoming trapped in aproblem area by planning rotations of the machine along the travel pathbased on a predetermined terrain map. Using this proactive technique,the machine may be oriented for maintaining traction when traversingproblem areas. The machine may analyze whether a planned travel pathwill traverse a problem area, such as a steep slope, based on thepredetermined terrain map. The machine may decide whether to traversethe problem area in a forward direction (e.g., for a steep uphill slope)or a reverse direction (e.g., for a steep downhill slope). The machinemay also avoid obstacles using sensors to detect the obstacle and thendeciding whether to change course before or after contacting theobstacle. Problem areas, obstacles, or both may be identified manuallyby a user or automatically by the machine. Use of these techniques mayimprove the effectiveness of many autonomous grounds maintenancemachines.

In one embodiment, the present disclosure relates to a method ofoperation for an autonomous grounds maintenance machine. The methodincludes determining a travel path for the machine to reach adestination waypoint in a work region; analyzing whether the travel pathwill traverse a problem area based on a predetermined terrain map;determining planned rotations of the machine along the travel path basedon the predetermined terrain map; and commanding the machine to propelalong the travel path based on the planned rotations.

In another embodiment, the present disclosure relates to an autonomousgrounds maintenance machine including a housing defining a front end anda rear end and an implement associated with the housing. The machineincludes at least one front wheel supporting the front end of thehousing upon a ground surface and two rear wheels supporting the rearend of the housing upon the ground surface. The machine also includes animplement motor supported by the housing and a propulsion systemsupported by the housing and operably coupled to the rear wheels. Thepropulsion system is adapted to control speed and rotational directionof the two rear wheels independently, thereby controlling both speed anddirection of the housing over the ground surface. The machine furtherincludes a controller operably coupled to the propulsion system. Thecontroller is adapted to generate a plan of travel for the housing. Thecontroller is adapted to autonomously: determine a travel path for thehousing to reach a destination waypoint in a work region; analyzewhether the travel path traverses a problem area based on apredetermined terrain map; plan rotations of the housing based on thepredetermined terrain map; and command the propulsion system to propelthe housing along the travel path based on the planned rotations.

In yet another embodiment, the present disclosure relates to anautonomous grounds maintenance machine including a housing defining afront end and a rear end and an implement associated with the housing.The machine includes at least one front wheel supporting the front endof the housing upon a ground surface and two rear wheels supporting therear end of the housing upon the ground surface. The machine alsoincludes an implement motor supported by the housing and a propulsionsystem supported by the housing and operably coupled to the rear wheels.The propulsion system is adapted to control speed and rotationaldirection of the two rear wheels independently, thereby controlling bothspeed and direction of the housing over the ground surface. The machinefurther includes an obstacle sensing circuit positioned to detect anobstacle in the direction of the front or rear end of the housing and acontroller operably coupled to the propulsion system and the obstaclesensing circuit. The controller is adapted to autonomously: determineplanned rotations of the housing based on a predetermined terrain mapand a current travel path; detect an obstacle along the current travelpath to a destination waypoint in a work region using the obstaclesensing circuit; determine whether the destination waypoint is a nextcoordinate within a current zone or a starting coordinate within a newzone of the work region; in response to the destination waypoint being anext coordinate within the current zone, avoid the obstacle using acommand to the propulsion system to propel the housing along the currenttravel path until contact with the obstacle is made; and command thepropulsion system to propel the housing toward the destination waypointafter avoiding the obstacle.

The summary is not intended to describe each embodiment or everyimplementation of the present disclosure. A more complete understandingwill become apparent and appreciated by reference to the followingdetailed description and claims taken in view of the accompanyingfigures of the drawing.

BRIEF DESCRIPTION OF THE DRAWINGS

Illustrative embodiments will be further described with reference to thefigures of the drawing, wherein:

FIG. 1 is a diagrammatic elevation view of an autonomous groundsmaintenance machine incorporating path planning in accordance with oneembodiment of the present disclosure.

FIG. 2 is an overhead view of a work region for the machine of FIG. 1 tocover in accordance with one embodiment of the present disclosure.

FIG. 3 is an overhead view of a zone within the work region of FIG. 2and pathing of the machine of FIG. 1 within the zone in accordance withone embodiment of the present disclosure.

FIG. 4 is a plot of elevation versus distance along a travel path inaccordance with one embodiment of the present disclosure.

FIG. 5 is a plot of grade versus distance along the travel path of FIG.4.

FIG. 6 is an overhead view of the machine of FIG. 1 performing anobstacle avoidance method in accordance with one embodiment of thepresent disclosure.

FIG. 7 is an overhead view of the machine of FIG. 1 performing anotherobstacle avoidance method in accordance with one embodiment of thepresent disclosure.

FIG. 8 is a flow diagram of one example of a method of operating themachine of FIG. 1 in accordance with one embodiment of the presentdisclosure.

FIG. 9 is a flow diagram of one example of implementing traversing awork region of FIG. 8 with the machine of FIG. 1 in accordance with oneembodiment of the present disclosure.

FIG. 10 is a flow diagram of one example of implementing traversing azone using a plurality of waypoints of FIG. 9 with the machine of FIG. 1in accordance with one embodiment of the present disclosure.

FIG. 11 is a flow diagram of one example of implementing determining aterrain map of a work region of FIG. 8 with the machine of FIG. 1 inaccordance with one embodiment of the present disclosure.

FIG. 12 is a flow diagram of one example of implementing determiningplanned rotations along the travel path of FIG. 10 with the machine ofFIG. 1 in accordance with one embodiment of the present disclosure.

FIG. 13 is a method of avoiding obstacles along a travel path with themachine of FIG. 1 in accordance with one embodiment of the presentdisclosure.

FIG. 14 is another method of avoiding obstacles along a travel path withthe machine of FIG. 1 in accordance with one embodiment of the presentdisclosure.

FIG. 15 is a method of traction control for the machine of FIG. 1 inaccordance with one embodiment of the present disclosure.

The figures are rendered primarily for clarity and, as a result, are notnecessarily drawn to scale. Moreover, various structure/components,including but not limited to fasteners, electrical components (wiring,cables, etc.), and the like, may be shown diagrammatically or removedfrom some or all of the views to better illustrate aspects of thedepicted embodiments, or where inclusion of such structure/components isnot necessary to an understanding of the various illustrativeembodiments described herein. The lack of illustration/description ofsuch structure/components in a particular figure is, however, not to beinterpreted as limiting the scope of the various embodiments in any way.Still further, the terms “Figure” and “FIG.” may be used interchangeablyherein.

DETAILED DESCRIPTION

In the following detailed description of illustrative embodiments,reference is made to the accompanying figures of the drawing which forma part hereof. It is to be understood that other embodiments, which maynot be described and/or illustrated herein, are certainly contemplated.

All headings provided herein are for the convenience of the reader andshould not be used to limit the meaning of any text that follows theheading, unless so specified. Moreover, unless otherwise indicated, allnumbers expressing quantities, and all terms expressingdirection/orientation (e.g., vertical, horizontal, parallel,perpendicular, etc.) in the specification and claims are to beunderstood as being modified in all instances by the term “about.” Theterm “and/or” (if used) means one or all of the listed elements or acombination of any two or more of the listed elements. The term “i.e.”is used as an abbreviation for the Latin phrase id est and means “thatis.” The term “e.g.,” is used as an abbreviation for the Latin phraseexempli gratia and means “for example.”

The term “or” is generally employed in its inclusive sense, for example,to mean “and/or” unless the context clearly dictates otherwise. The term“and/or” means one or all of the listed elements or a combination of atleast two of the listed elements.

Embodiments of the present disclosure provide autonomous groundsmaintenance machines and methods of operating the same with pathplanning in a work region to achieve improved coverage of the workregion during operation. For example, the machine may be an autonomousmower adapted to cut grass within a work region (e.g., a turf surface ofa residential or commercial property) as the mower travels across thework region. By implementing techniques like those described andillustrated herein, such a mower may be able to achieve more efficientcutting coverage than may otherwise be provided with known random-travelcoverage methods.

Techniques of the present disclosure relating to path planning forautonomous grounds maintenance machines may facilitate avoiding becomingtrapped in a problem area by planning rotations of the machine along thetravel path based on a predetermined terrain map. Using this proactivetechnique, the machine may be oriented for maintaining traction whentraversing problem areas. The machine may analyze whether a plannedtravel path will traverse a problem area, such as a steep slope, basedon the predetermined terrain map. The machine may decide whether totraverse the problem area in a forward direction (e.g., for a steepuphill slope) or a reverse direction (e.g., for a steep downhill slope).The machine may also avoid obstacles using sensors to detect theobstacle and then deciding whether to change course before or aftercontacting the obstacle. Problem areas, obstacles, or both may beidentified manually by a user or automatically by the machine. Use ofthese techniques may improve the effectiveness of many autonomousgrounds maintenance machines.

While described herein as an autonomous mower, such a configuration isillustrative only as systems and methods described herein also haveapplication to other autonomous ground maintenance machines including,for example, commercial mowing products, other ground working machinesor vehicles (e.g., debris blowers/vacuums, aerators, dethatchers,material spreaders, snow throwers), as well as indoor working vehiclessuch as vacuums and floor scrubbers/cleaners (e.g., that may encounterobstacles).

It is noted that the terms “comprises” and variations thereof do nothave a limiting meaning where these terms appear in the accompanyingdescription and claims. Further, “a,” “an,” “the,” “at least one,” and“one or more” are used interchangeably herein. Moreover, relative termssuch as “left,” “right,” “front,” “fore,” “forward,” “rear,” “aft,”“rearward,” “top,” “bottom,” “side,” “upper,” “lower,” “above,” “below,”“horizontal,” “vertical,” and the like may be used herein and, if so,are from the perspective shown in the particular figure, or while themachine 100 is in an operating configuration (e.g., while the machine100 is positioned such that wheels 106 and 108 rest upon a generallyhorizontal ground surface 103 as shown in FIG. 1). These terms are usedonly to simplify the description, however, and not to limit theinterpretation of any embodiment described.

While the construction of the actual grounds maintenance machine is notnecessarily central to an understanding of this disclosure, FIG. 1illustrates one example of an autonomous grounds maintenance machine(e.g., an autonomously operating vehicle, such as an autonomous lawnmower 100) of a lawn mowing system (for simplicity of description, themower 100 is illustrated schematically). As shown in this view, themower 100 may include a housing 102 (e.g., frame or chassis with ashroud) that carries and/or encloses various components of the mower asdescribed below. The mower 100 may further include ground supportmembers, e.g., one or more rear wheels 106 and one or more front wheels108, that support the housing 102 upon a ground (e.g., grass) surface103. As illustrated, the front wheels 108 are used to support a frontend 134 of the mower housing 102 and the rear wheels 106 are used tosupport the rear end 136 of the mower housing.

One or both of the rear wheels 108 may be driven by a propulsion system(e.g., including one or more electric wheel motors 104) to propel themower 100 over the ground surface 103. In some embodiments, the frontwheels 108 may freely caster relative to the housing 102 (e.g., aboutvertical axes). In such a configuration, mower direction may becontrolled via differential rotation of the two rear wheels 106 in amanner similar to a conventional zero-turn-radius (ZTR) riding mower.That is to say, the propulsion system may include a separate wheel motor104 for each of a left and right rear wheel 106 so that speed anddirection of each rear wheel may be independently controlled. Inaddition, or alternatively, the front wheels 108 could be activelysteerable by the propulsion system (e.g., including one or more steermotors 105) to assist with control of mower 100 direction, and/or couldbe driven by the propulsion system (i.e., to provide a front-wheel orall-wheel drive mower).

An implement (e.g., a grass cutting element, such as a blade 110) may becoupled to a cutting motor 112 (e.g., implement motor) carried by thehousing 102. When the motors 112 and 104 are energized, the mower 100may be propelled over the ground surface 103 such that vegetation (e.g.,grass) over which the mower passes is cut by the blade 110. Whileillustrated herein using only a single blade 110 and/or motor 112,mowers incorporating multiple blades, powered by single or multiplemotors, are contemplated within the scope of this disclosure. Moreover,while described herein in the context of one or more conventional“blades,” other cutting elements including, for example, disks, nylonstring or line elements, knives, cutting reels, etc., are certainlypossible without departing from the scope of this disclosure. Stillfurther, embodiments combining various cutting elements, e.g., a rotaryblade with an edge-mounted string trimmer, are also contemplated.

The mower 100 may further include a power source, which in oneembodiment, is a battery 114 having a lithium-based chemistry (e.g.,lithium-ion). Other embodiments may utilize batteries of otherchemistries, or other power source technologies (e.g., solar power, fuelcell, internal combustion engines) altogether, without departing fromthe scope of this disclosure. It is further noted that, while shown asusing independent blade and wheel motors, such a configuration isillustrative only as embodiments wherein blade and wheel power isprovided by a single implement motor are also contemplated.

The mower 100 may further include one or more sensors to providelocation data. For instance, some embodiments may include a globalpositioning system (GPS) receiver 116 (or other position sensor that mayprovide similar data) that is adapted to estimate a position of themower 100 within a work region and provide such information to acontroller 120, which is described in more detail below. In otherembodiments, one or more of the wheels 106, 108 may include encoders 118that provide wheel rotation/speed information that may be used toestimate mower position (e.g., based upon an initial start position)within a given work region. The mower 100 may further include a sensor115 adapted to detect a boundary wire when the latter is used to definea boundary of the work region.

The mower 100 may incorporate one or more front obstacle detectionsensors 130 and one or more rear obstacle detection sensors 132. Theobstacle detection sensors 130, 132 may be used to detect an obstacle inthe path of the mower 100 when travelling in a forward or reversedirection, respectively. The mower 100 is capable of mowing while movingin either direction. As illustrated, the sensors 130, 132 may be locatedat the front end 134 or rear end 136 of the mower 100, respectively. Thesensors 130, 132 may use contact sensing, non-contact sensing, or bothtypes of sensing. For example, both contact and non-contact sensing maybe enabled concurrently or only one type of sensing may be useddepending on the status of the mower 100 (e.g., within a zone ortravelling between zones). One example of contact sensing includes usinga contact bumper protruding from the housing 102 that can detect whenthe mower 100 has contacted the obstacle. Non-contact sensors may useacoustic or light waves to detect the obstacle, preferably at a distancefrom the mower 100 before contact with the obstacle (e.g., usinginfrared, radio detection and ranging (radar), light detection andranging (lidar), etc.).

In addition to the sensors described above, other sensors now known orlater developed may also be incorporated into the mower 100.

The mower 100 may also include a controller 120 adapted to monitor andcontrol various mower functions. The controller 120 may include aprocessor 122 that receives various inputs and executes one or morecomputer programs or applications stored in memory 124. The memory 124may include computer-readable instructions or applications that, whenexecuted, e.g., by the processor 122, cause the controller 120 toperform various calculations and/or issue commands. That is to say, theprocessor 122 and memory 124 may together define a computing apparatusoperable to process input data and generate the desired output to one ormore components/devices. For example, the processor 122 may receivevarious input data including positional data from the GPS receiver 116and/or encoders 118 and generate speed and steering angle commands tothe drive wheel motor(s) 104 to cause the drive wheels 106 to rotate (atthe same or different speeds and in the same or different directions).In other words, the controller 120 may control the steering angle andspeed of the mower 100, as well as the speed and operation of thecutting blade.

In addition, the mower 100 may be in operative communication with aseparate device, such as a smartphone or remote computer. A problem areaor obstacle may be identified, or defined, using an application on thesmartphone or remote computer, or the like. For example, a user mayidentify a problem area or obstacle on a map of a mowing area. Oneexample of an obstacle is a permanent obstacle, such as a boulder. Themower 100 may receive the identified problem area or obstacle from theseparate device. In such cases, the mower 100 may be configured to mowonly in a certain direction through the problem area in response toreceiving the identified problem area, or the mower may be configured totake proactive evasive maneuvers to avoid running into the obstaclewhile traversing a slope and may create an exclusion zone around apermanent obstacle in response to receiving the identified obstacle.

In view of the above, it will be readily apparent that the functionalityof the controller 120 may be implemented in any manner known to oneskilled in the art. For instance, the memory 124 may include anyvolatile, non-volatile, magnetic, optical, and/or electrical media, suchas a random-access memory (RAM), read-only memory (ROM), non-volatileRAM (NVRAM), electrically-erasable programmable ROM (EEPROM), flashmemory, and/or any other digital media. While shown as both beingincorporated into the controller 120, the memory 124 and the processor122 could be contained in separate modules.

The processor 122 may include any one or more of a microprocessor, acontroller, a digital signal processor (DSP), an application specificintegrated circuit (ASIC), a field-programmable gate array (FPGA),and/or equivalent discrete or integrated logic circuitry. In someembodiments, the processor 122 may include multiple components, such asany combination of one or more microprocessors, one or more controllers,one or more DSPs, one or more ASICs, and/or one or more FPGAs, as wellas other discrete or integrated logic circuitry. The functionsattributed to the controller 120 and/or processor 122 herein may beembodied as software, firmware, hardware, or any combination thereof.

In FIG. 1, schematic connections are generally shown between thecontroller 120 and the battery 114, wheel motor(s) 104, blade motor 112,optional boundary wire sensor 115, wireless radio 117, and GPS receiver116. This interconnection is illustrative only as the various subsystemsof the mower 100 could be connected in most any manner, e.g., directlyto one another, wirelessly, via a bus architecture (e.g., controllerarea network (CAN) bus), or any other connection configuration thatpermits data and/or power to pass between the various components of themower. Although connections with the sensors 130, 132 are not shown,these sensors and other components of the mower 100 may be connected ina similar manner.

Although the mower 100 may cover an area using various methods, FIG. 2shows one example of a work region 200 to cover with the mower 100 usinga plurality of zones 202, 210. A fixed property boundary or other typeof boundary may be used to define the work region 200. The mower 100 maybe operated to travel through the work region 200 along a number ofpaths to sufficiently cut all the grass in the work region 200. Themower 100 may recharge as needed, for example, when transitioningbetween zones 202, 210. A recharging base (not shown) may be locatedwithin the work region 200.

The work region 200 may be mapped with a terrain map. For example, theterrain map may be developed during a teaching mode of the mower, orduring successive initial mowing operations. Regardless, the terrain mapmay contain information about the terrain of the work region 200, forexample, elevation, grade, identified obstacles (e.g., permanentobstacles), identified stuck areas (e.g., areas the mower has gottenstuck whether due to grade or other traction conditions), or otherinformation that may facilitate the ability of the mower 100 to traversethe work region. For example, the terrain map may store elevation dataor grade data for a plurality of coordinates in a coordinate system 204(e.g., Cartesian grid) covering the work region 200. In some cases,identified stuck areas may not be associated with a steep grade, butthese areas may be treated like a steep grade if the mower 100 beginsto, or continues to, have problems in that stuck area.

The coordinate system 204 is shown for illustrative purposes only. Theresolution of points stored in the terrain map may be sufficient toprovide useful elevation and/or grade information about the terrain inthe work region 200 (e.g., on the order of feet or decimeters). Forexample, the resolution of points may correspond to spacing betweenpoints being less than or equal the width of the mower 100. In somecases, different functions of path planning may use different levels ofresolution. For example, path planning that maps containment orexclusion zones may have the highest resolution (e.g., on the order ofcentimeters). In other words, the resolution of points proximate to,adjacent to, or near irregular boundaries or obstacles may have a finergranularity.

The mower 100 may start coverage of the work region 200 starting at aboundary of the work region. The mower 100 may determine a first zone202. The zone 202 may be located adjacent to a boundary of the workregion 200 or, as illustrated, may be located further within the workregion. In one embodiment, the zone 202 is a dynamic zone, such as atravelling containment zone (e.g., smart zone), for which the zoneexpands as operation progresses. In some cases, the dynamic zone 202 mayexpand to cover the entire work region 200. In other cases, the dynamiczone 202 may expand to a point and, when the mower 100 is finishedmowing the dynamic zone, the mower 100 may start another zone (e.g.,zone 210, which may be dynamic or fixed) to continue mowing.

In another embodiment, the zone 202 is a static zone with a fixedboundary within the work region 200. Typically, the static zone 202 doesnot cover the entire work region 200. When the mower 100 is finishedwith mowing the static zone 202, the mower may start another zone (e.g.,zone 210, which may be dynamic or fixed) to continue mowing.

The mower 100 may determine a starting coordinate or point 206 withinthe first zone 202. In some embodiments, the starting coordinate 206 maybe selected from the highest point within the zone 202. The mower 100may rotate, if needed, to orient itself toward the starting coordinate206 from its current position at the boundary of the work region 200.The mower 100 may propel itself toward the starting coordinate 206.

After arriving at the starting coordinate 206, the mower 100 may begintravelling through the zone 202 to cut grass within the zone. Asdescribed below, the mower 100 may use randomly-generated destinationwaypoints within the zone. In addition, or in the alternative, the mower100 may use a planned pattern with planned waypoints within the zone.Such pattern mowing may use planned waypoint creation to cover the zone.

When the mower 100 arrives at a final destination waypoint 208, themower is finished cutting grass within the current zone 202. The mower100 may determine a next zone 210 and a next starting point 212 withinthe next zone. The mower 100 may orient itself and begin travelling tothe next starting point 212. The path 220 from a final destinationwaypoint 208 in a zone 202 or toward a next starting point 212 in a nextzone 210 may be described as a “go to goal” path.

Once the mower 100 arrives at the next starting point 212, the mower 100may begin travelling through the next zone 210. The process ofgenerating and working travelling containment zones may be repeated anumber of times to provide sufficient coverage of the work region 200.

In general, the mower 100 is configured to approach a slope with a steepgrade in an optimal way to prevent getting stuck upon encountering anobstacle on that slope. For instance, without the techniques of thepresent application, a mower using rear wheel drive may travel forwarddown a hill and bump into a tree, the mower may not be able to back awayfrom the tree and may get stuck. In contrast, the mower 100 of thepresent application using real wheel drive may be configured to traveldown the same hill in reverse. For example, when the mower 100 bumpsinto a tree, the mower may have more traction than the mower goingforward and may be more capable of travelling away from the tree withoutgetting stuck.

In FIG. 3, one method 300 of covering a zone 302 is shown as an overheadview illustrating a sequence of paths for taking the mower 100 throughat least part of the zone. In the illustrated embodiment, the mower 100travels from starting point 304 to destination waypoint 306. Afterreaching destination waypoint 306, the mower 100 may determine a seconddestination waypoint 308, rotate X1 degrees, and travel toward thesecond destination waypoint. This sequence of rotating and travellingmay continue to reach third destination waypoint 310, fourth destinationwaypoint 312, and final destination waypoint 314 (e.g., using rotationsX2, X3, and X4, respectively). The mower 100 may rotate in the oppositedirections and arrive at the same orientation (e.g., 360 degrees minusX1 degrees in the opposite direction is the same orientation as rotatingX1 degrees). Although only a few destination waypoints 306, 308, 310,312, 314 are shown in this illustration, the mower 100 may travel toseveral more waypoints in order to sufficiently cover the zone 302. Insome embodiments, the mower 100 may select the smallest angle availableto rotate and orient itself toward the next destination waypoint (e.g.,90 degrees counter-clockwise instead of 270 degrees clockwise). In otherembodiments, the mower 100 may rotate using the larger, or largest,angle.

While described herein in the context of independent, static zones, sucha configuration is not limiting as embodiments of the present disclosuremay be used to cover a work region using a travelling containment zoneas described in U.S. Provisional Application No. 62/588,680 (Ingvalsonet al.), filed Nov. 20, 2017, entitled “System and method for operatingan autonomous robotic working machine within a travelling containmentzone,” and U.S. Provisional Application No. 62/599,938 (Ingvalson etal.), filed Dec. 18, 2017, entitled “System and method for operating anautonomous robotic working machine within a travelling containmentzone,” which are incorporated herein by reference.

When the mower 100 selects a next destination waypoint, the mower mayuse a predetermined terrain map to determine an orientation or directionfor the mower. In particular, the terrain map may be used to determinean orientation or direction for the path to the next destinationwaypoint.

In FIG. 4, one illustration of data that may be contained in a terrainmap is shown as elevation plot 400 that maps elevation to distance alongone illustrative path 402 with an elevation curve 408. The elevationdata for a work region may be determined in various ways. In oneexample, the first time the mower 100 traverses a work region, the mower100 may collect elevation data. As illustrated, elevation plot 400corresponds to a cross-section of a terrain map. Populating the entireterrain map based on a plurality of cross-sections may take time (e.g.,more than one pass through the map). The mower 100 may fill in parts ofthe terrain map not yet measured using two-dimensional interpolations ofelevation data that has already been measured. Also, although the mower100 may collect elevation data in discrete samples, the plot 400 may begenerated using a smoothing function, such as a line fitting algorithm,to extrapolate a smooth curve for the elevation curve 408 asillustrated.

The mower 100 may analyze the elevation curve 408 along the path 402 forvarious information. In some embodiments, the mower 100 may select ahighest elevation within a zone as a starting coordinate, or waypoint ina new travelling containment zone.

The mower 100 may use the elevation data along path 402 to determine agrade curve 412 that corresponds to the path 402 of elevation plot 400shown as plot 410 in FIG. 5, which is another illustration of data thatmay be contained in the terrain map such as, for example, elevation dataof a cross-section of the terrain map. As illustrated, the plot 410 mapsgrade (in degrees) to distance along the path 402. The grade curve 412may be calculated based on the discrete elevation data or on the smoothelevation curve 408. The plot 410 may be generated using a smoothingfunction, such as a line fitting algorithm, to extrapolate a smoothcurve for the grade curve 412. The grade curve 412 may be calculated asa plurality of slopes or using a differential function of the elevationcurve 408.

Additionally, or alternatively, the mower 100 may determine and storegradient directly, for example, based on measuring pitch and roll data.The grade curve 412 may be computed, for example, using a combination ofelevation data and gradient stored by the mower 100.

In general, the rear wheels 106 (FIG. 1) of the mower 100 will have moretraction when travelling uphill in a forward direction compared totravelling downhill going forward. Likewise, the mower 100 generally hasmore traction when travelling downhill in a reverse direction comparedto travelling uphill in reverse. The opposite may be true for afront-wheel drive mower. The techniques described herein orient therear-wheel drive mower 100 in a forward direction to provide traction tothe rear wheels 106 when going uphill and orient the mower in a reversedirection when going downhill. As described herein, the mower 100 mayonly rotate when the uphill or downhill grade is steep enough to cause aproblem for the mower (e.g., problem areas). That is, some uphill ordownhill slopes with shallow grades may not require the mower 100 to beoriented in the forward or reverse direction, respectively, so the mowermay traverse some shallow uphill grades in the reverse direction or someshallow downhill grades in a forward direction.

In some embodiments, the mower 100 may be configured to determine orstore mass property data (e.g., mass distribution data) and pitch and/orroll data. For example, pitch and/or roll may be measured to generatethe data. Any suitable technique may be used to determine mass propertydata and pitch and/or roll data, such as those known to a person ofordinary skill in the art having the benefit of this disclosure.Non-limiting examples of techniques for determining mass property datainclude using 3D computer-assisted design/drafting (CAD) tools or usingweigh scales. Pitch and/or roll data may be determined by a navigationsystem of the mower 100. The navigation system may be configured to fusesensor data from one or more sensors to provide pitch and/or roll data.Non-limiting examples of on-board sensors include: inertial measurementunits (IMUs), wheel sensors, global positioning systems (GPS), or anyother devices suitable for determining position and/or orientation ofthe mower 100. The orientation of the mower 100 may include, forexample, pitch, roll, and yaw/heading.

Using the mass property data and the pitch and/or roll data, the mower100 may be configured to determine how weight is distributed to each ofits wheels and determine a maximum traction force available at eachwheel to execute a maneuver. The mower 100 may apply limited wheeltorque to one or more wheels so that the maximum traction forces are notexceeded during the maneuver. For example, if the mower 100 is on aslope, the mower may determine which drive wheel 106 has less tractionand limit the acceleration of this drive wheel accordingly. In anotherexample, when the mower 100 is accelerating on up or down a hill, torquemay be limited to both wheels.

In one or more embodiments, the mower 100 may determine that certainmaneuvers (e.g., traversing forward or in reverse or pivot turning)should not be executed based on a particular pitch and/or roll in thepitch and/or roll data. In one example, the mower 100 may have a highroll angle due to the presence of a hill and may determine that amaneuver to pivot turning to face uphill at this high roll angle shouldnot be executed. In general, the mower 100 may be configured to avoidslip proactively, rather than only reacting to a slip event, which mayfacilitate avoiding situations where the mower cannot recover (e.g.,becomes stuck).

The grade curve 412 may be used to identify various points or areas ofthe terrain along the path 402. For example, one or more local maxima404 (FIG. 4) and one or more local minima 406 (FIG. 4) may be determined(e.g., where the grade curve equals zero). The mower 100 may select oneof the local maxima 404 or minima 406 along the path 402, or within theentire zone, as a starting coordinate. In particular, the mower 100 mayselect a local maximum 404 or minimum 406 having the smallest localgrade (e.g., flattest area).

The local grade may be determined by comparing a plurality of gradesstored in a terrain map and identifying the grade having the smallestabsolute magnitude. The local grade may be calculated as a vector basedon stored elevation data. To find the smallest local grade, the terrainmap may be searched for cells in the zone. Then, those cells in the zonemay be compared to identify the smallest stored or calculated gradient.

The local maxima 404 and minima 406 may be associated with rotatableareas 414. In general, rotatable areas 414 are associated with a rangeof grades along the path 402 that encompass flat areas and small slopes.Rotatable areas 414 may include local maxima 404 and minima 406 as shownby comparison of FIGS. 4 and 5. An ideal rotatable area 414 may includea zero-grade point (e.g., a maxima or minima of elevation).

Problem areas 416 may be associated with a range of high magnitudegrades (including highly positive and highly negative grades) along thepath 402 that encompass the steepest slopes as can be seen by comparisonof FIGS. 4 and 5. The problem areas 416 are associated with grades thatthe mower 100 should not traverse without considering the orientation ofthe mower.

In some cases, the problem areas may include impassable areas.Impassable areas may be defined by grades that the mower cannot traversewithout excessive difficulty. The mower may avoid, or skip over, thecurrent path 402 if an impassable area (e.g., too steep a grade) isdetermined to lie along the path. For example, the mower may detect agrade that exceeds a threshold in its path and stop before reaching thegrade or soon after reaching the grade. The threshold may be determinedbased on, for example, a jurisdictional or industrially-acceptedstandard. The mower may attempt to move to an area with a lower gradewithin a time window. When the time window expires, the user maymanually provide instructions, commands, or guidance to move the mower.

The mower 100 may determine one or more rotatable areas 414 based on thegrade curve 412. The rotatable areas 414 may be determined using one ormore grade thresholds, which may include an upper grade threshold 418(e.g., positive grade) and a lower grade threshold 419 (e.g., negativegrade) for rotatable areas. Where the magnitude of the grade curve 412does not exceed either of the grade thresholds 418, 419, the mower 100may designate that portion of the path 402 as a rotatable area 414. Forthe illustrated grade curve 412, three rotatable areas 414 are shownalong the path 402 associated with portions of the grade curve 412 thatare not higher than the upper grade threshold 418 for rotatable areasand are not lower than the lower grade threshold 419 for rotatableareas.

The mower 100 may determine one or more problem areas 416 based on thegrade curve 412. The problem areas 416 may be determined using one ormore grade thresholds, which may include an upper grade threshold 420(e.g., positive grade) and a lower grade threshold 421 (e.g., negativegrade). In general, the thresholds 418, 419 for rotatable areas and thethresholds 420, 421 for problem areas are different but, in someembodiments, may be close in value or even the same. Where the magnitudeof the grade curve 412 exceeds one of the grade thresholds 420, 421, themower 100 may designate that portion of the path 402 as a problem area416. For the illustrated grade curve 412, two problem areas 416 areshown along the path 402 associated with portions of the grade curve 412that are higher than the upper grade threshold 420 for problem areas orare lower than the lower grade threshold 421 for problem areas.

In some embodiments, the absolute values of the grade curve 412 may beused and compared with a grade threshold. Where the absolute value ofthe grade curve 412 does not exceed the one grade threshold (e.g., gradethreshold 418) for rotatable areas, that portion of the path 402 may bedesignated as a rotatable area 414. Where the absolute value of thegrade curve 412 does exceed the one grade threshold (e.g., gradethreshold 420) for problem areas, that portion of the path 402 may bedesignated as a problem area 416.

The mower 100 may use the identified rotatable areas 414 and problemareas 416 along the path 402 to determine planned rotations of the moweralong the travel path 402. In particular, when the mower 100 identifiesproblem areas 416 along the travel path 402, the mower may analyzewhether the travel path includes prior rotatable areas 414 that themower will traverse before reaching the problem area. The priorrotatable areas 414 may be used to orient the mower 100 in preferreddirections to traverse the problem areas 416. The mower 100 may traversethe travel path 402 based on the planned rotations. In one embodiment,the planned rotations may be determined before the mower 100 begins totraverse the travel path 402 to a destination waypoint within thecurrent zone or a starting coordinate in a new zone. In anotherembodiment, the planned rotations may be determined during traversal ofthe travel path 402 but before the mower 100 reaches the problem area416 or the prior rotatable area 416.

For each problem area 416, the mower 100 may identify the preferreddirection to propel the mower through the problem area. For example, ifthe problem area 416 is associated with a positive grade (and the mower100 being a rear-wheel drive machine), the mower may determine that thepreferred direction is a forward direction through the problem area.Likewise, if the problem area 416 is associated with a negative grade,the mower may determine that the preferred direction is a reversedirection through the problem area.

Then, the mower 100 may determine the direction that the mower willtraverse the rotatable area 414 that is located before, or prior to, themower reaching the problem area 416. If the direction that the mower 100will traverse the prior rotatable area 414 is different than thepreferred direction through the problem area, then the mower will rotate(e.g., 180 degrees) in the prior rotatable area 414. If the directionthat the mower 100 will traverse the prior rotatable area 414 is thesame as the preferred direction through the problem area, then the mowerwill not rotate in the prior rotatable area 414.

In some embodiments, the controller 120 (FIG. 1) may be used to use andstore various plots, curves, and data associated with or determined fromthe terrain map, including coordinates, elevations, grades, thresholds,rotatable areas, problem areas, travel paths, zones, work regions, andplanned rotations.

One example of using planned rotations for the grade curve 412 isschematically illustrated in FIG. 5 using portions A, B, and C (shownaligned to the grade curve 412 of plot 410), which correspond to partsof the path 402. To begin, the mower 100 decides to travel down theportion A along the path 402 in a forward direction because the mowerhad determined that the first problem area 416 (left-most problem area)has a positive grade. The mower 100 does not rotate in the firstrotatable area 414 (left-most rotatable area) and travels through thefirst problem area 416 (left-most problem area). Then, the mower 100reaches the second rotatable area 414 (middle rotatable area) at point Band rotates 180 degrees. The mower 100 then continues down the portion Calong the path 402 in a reverse direction because the mower haddetermined that the second problem area 416 (right-most problem area)has a negative grade.

Once rotations are planned for all problem areas 416 along the travelpath 402, the mower 100 may be propelled along the travel path based onthe planned rotations. The predetermined terrain map may not include,however, obstacles that have been placed along the travel path 402 thatmay impede the progress of the mower 100.

Planning rotations may be particularly useful for downhill grades at aboundary of a zone or work region. In general, rear-wheel drive mowersare susceptible to becoming stuck after stopping at a downhill boundaryand attempting to move away from the boundary. By planning rotations,the mower 100 is configured to use an orientation (e.g., backward orforward) that provides the most traction to move uphill away from theboundary. Using planned rotations may be more beneficial to work regionsin which the mower 100 encouters more turns, or boundaries (e.g., usingtravelling containment zones to cover a work region).

In FIG. 6, one method 500 for modifying a travel path 502 to deal anobstacle 504 is shown. As the mower 100 propels along the path 502, themower uses the sensor 130 to detect the obstacle 504. The sensor 130uses non-contact sensing to detect the obstacle 504 before the mower 100contacts the obstacle. Upon detection of the obstacle 504, the mower 100rotates to avoid the obstacle 504 and travel along a detour 506 aroundthe obstacle (e.g., wide of the obstacle). Then, the mower 100 continuesonward toward the planned destination waypoint after avoiding theobstacle. In some embodiments, the detour 506 may be analyzed forproblem areas, similar to a planned travel path.

In FIG. 7, another method 510 for modifying the travel path 502 to dealwith the obstacle 504 is shown. The method 510 is similar to method 500in many respects, except that the sensor 130 uses contact sensing todetect the obstacle 504 upon contact of the mower 100 with the obstacle504. The mower 100 rotates to avoid the obstacle 504 and travels alongdetour 512 around the obstacle (e.g., wide of the obstacle). In general,the detour 512 may take a path that is tighter to the obstacle 504 thandetour 506. The mower 100 then continues onward toward the planneddestination waypoint after clearing the obstacle. In some embodiments,the detour 512 may be analyzed for problem areas, similar to a plannedtravel path.

In some embodiments, the mower 100 may choose to use either method 500,510. The sensor 130 may include both contact and non-contact sensingcapabilities that are selectable by the mower 100. In one example, themower 100 may select method 510 when travelling within a zone (e.g., toa destination waypoint within a current zone) to improve coverage of thezone. In another example, the mower 100 may select method 500 whentravelling between zones (e.g., to a destination waypoint within a nextzone), for example, because mowing while travelling between zones is nottypically used to cover the work region.

Although the mower 100 is shown rotating counter-clockwise to avoid theobstacle 504 in FIGS. 6 and 7, the mower may also rotate in a clockwisedirection to avoid the obstacle. The decision to rotate clockwise orcounter-clockwise may be based on open area available in the workregion. For example, the mower 100 may rotate toward the direction withmore open area available. Additionally, or alternatively, the decisionto rotate clockwise or counter-clockwise may be based on whichorientation provides sufficient, or the most, traction.

The mower 100 may encounter various types of obstacles 504 (e.g.,artificial or natural). Some obstacles may not be detectable by thesensor 130, for example, during a teaching or training mode. The mower100 may detect some obstacles (e.g., a playground slide raised off theground) by becoming stuck or by receiving user input (e.g., user-definedexclusion zones relatable to the terrain map) indicating the location ofthe obstacle. If the mower 100 gets stuck at a certain location in theterrain map, the mower may be configured to remember the location in theterrain map and conditions (e.g., pitch, roll, and/or heading). In someembodiments, the mower 100 may automatically identify and create anexclusion zone with or without permission of the user. When the terrainmap is used for path planning, any path that includes the stuck locationmay be treated as an exclusion zone, an obstacle, or a grade that is toosteep to traverse. The terrain map or other data structure may beupdated to reflect the presence of such exclusion zones, obstacles, orgrades. In other words, the mower 100 may avoid the same location and/orconditions leading to becoming stuck on subsequent planned paths. Inthis manner, methods 500, 510 may be used to avoid the obstacle 504 evenwhen the sensor 130 does not directly detect the obstacle.

Having described various functionality of the mower 100, various methodsfor operating the mower may be generated therefrom. In FIG. 8, a generalmethod 600 of autonomously operating a grounds maintenance machine(e.g., the mower 100) is shown. The method 600 may include determining aterrain map of a work region 602. In some embodiments, the terrain mapmay be determined from a prior traversal of the work region stored inmemory. In other embodiments, the terrain map may be determined fromother data (e.g., training operations, GPS-collected data, etc.).

The method 600 may also include traversing the work region with themachine 604, in particular, based on data contained within the terrainmap. In some embodiments, at least one of elevation and grade data maybe used to plan a path of travel of the machine.

FIG. 9 shows one example of the method 604 of traversing the work regionwith the machine. The method 604 may include travelling to a startingcoordinate in a work region 606. When the machine begins covering a workregion or a zone therein, a starting coordinate may be determined forthe machine to reach. The machine may not prioritize coverage whentravelling to the starting coordinate (e.g., not cutting grass). Thestarting coordinate may be selected based on elevation or grade data.For example, the starting coordinate may be selected based on a highestelevation in the zone or based on a smallest local grade in the newzone.

The method 604 may also include traversing the zone using a plurality ofdestination waypoints 608. The destination waypoints may be determinedone at a time. For example, the machine may determine a firstdestination waypoint to reach and then determine a second destinationwaypoint after reaching the first destination waypoint. This may becontinued until the work region has been sufficiently covered (e.g.,mowed). In some embodiments, the destination waypoints may be selectedrandomly along the border of the zone.

The method 604 may further include travelling to a starting coordinatein a new zone 610. The new zone may be determined once the current zonehas been covered (e.g., finished with mowing).

FIG. 10 shows one example of the method 608 of traversing the zone usinga plurality of destination waypoints. In particular, the method 608 maygenerate a plan of travel for the machine. The method 608 may includedetermining a travel path 612. The travel path may be determined basedon a randomly selected destination waypoint.

The method 608 may also include analyzing the travel path for problemareas 614. The analysis may be based on a terrain map that contains datafor the travel path. The terrain map may include gradient data that maybe used to determine portions of the travel path that are sufficientlysteep (e.g., a high positive or negative grade) to qualify as problemareas.

Further, the method 608 may include determining planned rotations alongthe travel path 616. In particular, the machine may need to rotate to apreferred direction to traverse problem areas.

In addition, the method 608 may include orienting the machine to thedestination waypoint 618. Orienting the machine 618 may preferably occurafter determining the planned rotations 616 because the machine maydecide to start in a forward or reverse direction depending on theoutcome of the planned rotations for the travel path. This sequence mayprevent extra rotations of the machine in the work region.

The method 608 further may include commanding the machine to propelalong the travel path according to the planned rotations 620. Asdescribed above, the machine may be propelled in the forward or reversedirection to start along the travel path and may rotate as needed basedon the planned rotations to reach the destination waypoint.

FIG. 11 shows one example of the method 602 of determining the terrainmap of the work region. The method 602 may include traversing the workregion 622. Any suitable method of traversing the work region 622 may beselected. The pathing may not be randomly selected if the traversal isnot intended to cover the work region (e.g., cut the grass).

The method 602 may include determining elevations for a plurality ofcoordinates in the work region 624. The elevation data may be used tofacilitate planning a path of travel for the machine in subsequenttraversals of the work region.

The method 602 further may include determining grades for the pluralityof coordinates in the work region 626. The grade data may be used tofacilitate planning a path of travel for the machine in subsequenttraversals of the work region. The grades may be calculated based on theelevation data, for example, as slopes or using a differential function.Additionally, or alternatively, the method 602 may include measuringpitch, roll, or both of the mower to determine grades for the pluralityof coordinates in the work region. In such embodiments, determiningelevations 624 may be optional.

In addition, the method 602 may include storing a terrain map for thework region 628 based on the elevation and/or grade data. The storedterrain map may contain data that may be retrieved and used, forexample, each time a travel path is determined to identify problem areasand/or rotatable areas.

FIG. 12 shows one example of the method 616 for determining plannedrotations along the travel path. The method 616 may include analyzingthe travel path for prior rotatable areas 630. In particular, rotatableareas may be identified that the machine will traverse before reachingproblem areas.

The method 616 may also include determining a preferred direction forthe machine to traverse the problem area 632. For example, if theproblem area has a positive grade, the machine will prefer a forwarddirection, and if the problem area has a negative grade, the machinewill prefer a reverse direction (assuming the machine is rear-wheeldrive and vice versa for front-wheel drive).

Further, the method 616 may include determining the direction that themachine will traverse a prior rotatable area 634.

In addition, method 616 may include planning to rotate the machine inthe prior rotatable area (if needed) to traverse the problem area in thepreferred direction. For example, if the preferred direction is forwardand the machine will traverse the prior rotatable area in the reversedirection (e.g., opposite direction), the machine will rotate 180degrees at the prior rotatable area. If the preferred direction and thedirection through the rotatable area are the same, then the machine willnot rotate at the prior rotatable area.

Once the rotations have been planned and the machine is commanded topropel along the travel path 620 (FIG. 10), the machine may execute anobstacle detection method 700 for traveling along the path asillustrated in FIG. 13. The method 700 may include beginning along thetravel path 702. A propulsion system may be used to drive the wheels ina forward or reverse direction.

The method 700 may also include detecting an obstacle in the travel path704. The obstacle may be detected using contact or non-contact sensors.

The method 700 further may include determining the type of destinationwaypoint 706. For example, the destination waypoint may be a startingcoordinate (“go to goal”) or a coordinate within the current zone.

In addition, the method 700 may include avoiding the obstacle based onthe type of destination waypoint 708. For example, if the destinationwaypoint is a starting coordinate, the mower may take a wider detour toavoid contact with the obstacle. If the destination waypoint is withinthe current zone, the mower may take a shorter detour around theobstacle for tight coverage of the zone around the obstacle. Apropulsion system may be used to drive the wheels in a manner to takeevasive action (e.g., rotating the machine and travelling around theobstacle).

Although determining the type of destination waypoint 708 as illustratedfollows other processes (e.g., beginning on the travel path 702), thetype of destination waypoint may be determined 706 at any point beforeevasive action is taken.

Further, the method 700 may include continuing to the destinationwaypoint 710 after the obstacle is cleared.

A more detailed obstacle detection method 750 is shown in FIG. 14, whichmay also include beginning on a travel path 702. The method 750 mayfurther include determining a type of destination waypoint 752. If thedestination waypoint is within the current zone, the method 750 may usecontact sensors 754 for obstacle detection. When the obstacle isdetected using the contact sensors 756, the machine may contact theobstacle before rotating the machine 758 to take evasive action. If thedestination waypoint is in a new zone, or outside the current zone, themethod 750 may use non-contact sensors 760 for obstacle detection. Whenthe obstacle is detected using the non-contact sensors 762, the machinemay rotate before contacting the obstacle 764 to take evasive action.After taking evasive action, the method 750 may then include continuingto the destination waypoint 710.

FIG. 15 shows one example of a method 800 for traction control that maybe used with an autonomous machine (e.g., mower 100 of FIG. 1). Themethod 800 may include determining mass properties (e.g., characterizingmass distribution) of the autonomous machine 802, which may be doneduring or before operation of the autonomous machine. In someembodiments, the autonomous machine may determine how weight isdistributed at each wheel based on the mass properties. The method 800may also include determining pitch, roll, or both pitch and roll of theautonomous machine 804, which may be measured using sensors of thenavigation system (e.g., IMU). The mower 100 may be configured todetermine or store mass property data (e.g., mass distribution data) andmeasured pitch and/or roll data.

Based on the mass properties and the pitch and/or roll, the method 800may include determining a maximum traction force available at one ormore of the driving wheels 806, for example, before executing a plannedmaneuver. Other information that may be used to determine the maximumtraction force at each wheel includes, but is not limited to, wheel type(e.g., high or low traction wheels) and terrain conditions. Any suitabletechnique may be used to determine the maximum traction force availableand terrain conditions, such as those available to one of ordinary skillin the art having the benefit of this disclosure. Various examples oftechniques for determining terrain conditions include using a worse casescenario for traction and using measurements to estimate traction (e.g.,online estimation).

If a wheel torque does not exceed the determined maximum traction forcefor the wheel 808, the method 800 may continue nominal operation of theautonomous machine 810. On the other hand, if a wheel torque exceeds thedetermined maximum traction force for the wheel 808, the method 800 maylimit applied torque to the wheel of the autonomous machine 812.

In some embodiments, the method 800 may include determining maneuversthat are eligible 814 based on the current maximum traction force or atleast based on the pitch or roll. Certain maneuvers may be deemedineligible because the autonomous machine may become stuck if thosemaneuvers were to be performed at a particular pitch and/or roll of theautonomous machine. For example, when the autonomous machine istraveling up a slope, a maneuver traversing forward may be eligiblewhile a maneuver traversing in reverse may be ineligible. The method 800may continue modified operation of the autonomous machine using thelimited applied torque and an eligible maneuver 816, which may reducethe risk of becoming stuck.

While the present disclosure is not so limited, an appreciation ofvarious aspects of the disclosure will be gained through a discussion ofthe specific illustrative embodiments provided below, which provideadvantages in path planning for trap and obstacle avoidance. Variousmodifications of the illustrative embodiments, as well as additionalembodiments of the disclosure, will become apparent herein.

ILLUSTRATIVE EMBODIMENTS

In illustrative embodiment A1, a method of operation for an autonomousgrounds maintenance machine comprises determining a travel path for themachine to reach a destination waypoint in a work region; analyzingwhether the travel path will traverse a problem area based on apredetermined terrain map; determining planned rotations of the machinealong the travel path based on the predetermined terrain map; andcommanding the machine to propel along the travel path based on theplanned rotations.

In illustrative embodiment A2, a method comprises the method accordingto any A embodiment, further comprising analyzing whether the travelpath will cause the machine to traverse a prior rotatable area beforethe problem area using the predetermined terrain map; determining apreferred direction to propel the machine through the problem area;determining a direction that the machine will traverse the priorrotatable area; and planning to rotate the machine in the priorrotatable area in response to determining that the machine will traversethe prior rotatable area in a direction opposite to the preferreddirection for the problem area.

In illustrative embodiment A3, a method comprises the method accordingto any A embodiment, further comprising determining a terrain map basedon a previous traversal of the work region.

In illustrative embodiment A4, a method comprises the method accordingto embodiment A3, wherein determining the terrain map comprisesdetermining a plurality of grades for a plurality of coordinates withinthe work region.

In illustrative embodiment A5, a method comprises the method accordingto embodiment A4, further comprising determining a plurality ofelevations, pitch, or roll grades along the travel path in the terrainmap.

In illustrative embodiment A6, a method comprises the method accordingto any A embodiment, wherein analyzing whether the travel path traversesa problem area comprises comparing a plurality of grades along thetravel path to a threshold grade for problem areas.

In illustrative embodiment A7, a method comprises the method accordingto any A embodiment, further comprising analyzing whether the travelpath traverses a rotatable area using a plurality of grades along thetravel path and a threshold grade for rotatable areas.

In illustrative embodiment A8, a method comprises the method accordingto any A embodiment, further comprising analyzing a new travel path to anew destination waypoint for problem areas before rotating the machineto a new starting orientation.

In illustrative embodiment A9, a method comprises the method accordingto any A embodiment, wherein the destination waypoint is a nextcoordinate within a current zone or a starting coordinate within a newzone of the work region.

In illustrative embodiment A10, a method comprises the method accordingto embodiment A9, further comprising determining the starting coordinatewithin the new zone based on elevation or grade data using thepredetermined terrain map.

In illustrative embodiment A11, a method comprises the method accordingto embodiment A10, wherein determining the starting coordinate withinthe new zone is based on a highest elevation in the new zone or asmallest local grade in the new zone.

In illustrative embodiment A12, a method comprises the method accordingto any A embodiment, further comprising detecting an obstacle along thetravel path and taking evasive action.

In illustrative embodiment A13, a method comprises the method accordingto embodiment A12, further comprising determining whether thedestination waypoint is a next coordinate within a current zone or astarting coordinate within a new zone of the work region.

In illustrative embodiment A14, a method comprises the method accordingto embodiment A13, further comprising avoiding the obstacle before orafter contact with the obstacle is made.

In illustrative embodiment A15, a method comprises the method accordingto any A embodiment, wherein the zone is a travelling containment zoneof the work region.

In illustrative embodiment B1, an autonomous grounds maintenance machinecomprises a housing defining a front end and a rear end; an implementassociated with the housing; at least one front wheel supporting thefront end of the housing upon a ground surface; two rear wheelssupporting the rear end of the housing upon the ground surface; animplement motor supported by the housing; a propulsion system supportedby the housing and operably coupled to the rear wheels, wherein thepropulsion system is adapted to control speed and rotational directionof the two rear wheels independently, thereby controlling both speed anddirection of the housing over the ground surface; and a controlleroperably coupled to the propulsion system. The controller is adapted togenerate a plan of travel for the housing. The controller is adapted toautonomously determine a travel path for the housing to reach adestination waypoint in a work region; analyze whether the travel pathtraverses a problem area based on a predetermined terrain map; planrotations of the housing based on the predetermined terrain map; andcommand the propulsion system to propel the housing along the travelpath based on the planned rotations.

In illustrative embodiment B2, a machine comprises the machine accordingto any B embodiment, wherein the controller is further adapted toautonomously: analyze whether the travel path will cause the housing totraverse a prior rotatable area before the problem area using thepredetermined terrain map; determine a preferred direction to propel thehousing through the problem area; determine a direction that the housingwill traverse the prior rotatable area; and plan to rotate the housingin the prior rotatable area in response to determining that the housingwill traverse the prior rotatable area in a direction opposite to thepreferred direction for the problem area.

In illustrative embodiment B3, a machine comprises the machine accordingto any B embodiment, wherein the destination waypoint is containedwithin a travelling containment zone of the work region.

In illustrative embodiment B4, a machine comprises the machine accordingto embodiment B3, wherein the controller is further adapted to determinea terrain map for at least the travelling containment zone of the workregion.

In illustrative embodiment B5, a machine comprises the machine accordingto any B embodiment, wherein determining the travel path comprisesrandomly selecting the destination waypoint or selecting the nextdestination waypoint in a planned pattern.

In illustrative embodiment B6, a machine comprises the machine accordingto any B embodiment, wherein the controller is further adapted todetermine a plurality of grades along the travel path based on thepredetermined terrain map.

In illustrative embodiment B7, a machine comprises the machine accordingto any B embodiment, wherein the controller is further adapted to:identify local maxima or minima along the travel path; and define arotatable area at the local maxima or minima.

In illustrative embodiment B8, a machine comprises the machine accordingto any B embodiment, wherein the controller is further adapted toautonomously command the propulsion system to propel the housing alongthe travel path after planning the rotations of the housing.

In illustrative embodiment B9, a machine comprises the machine accordingto any B embodiment, wherein the controller is further adapted toautonomously analyze a new travel path to a new destination waypoint forproblem areas before rotating the housing to a new starting orientation.

In illustrative embodiment B10, a machine comprises the machineaccording to any B embodiment, wherein the destination waypoint is anext coordinate within a current zone or a starting coordinate within anew zone of the work region.

In illustrative embodiment B11, a machine comprises the machineaccording to embodiment B10, wherein the controller is further adaptedto autonomously determine the starting coordinate within the new zonebased on elevation or grade data using the predetermined terrain map.

In illustrative embodiment B12, a machine comprises the machineaccording to embodiment B11, wherein determining the starting coordinatewithin the new zone is based on a highest elevation in the new zone or asmallest local grade in the new zone.

In illustrative embodiment C1, an autonomous grounds maintenance machinecomprises: a housing defining a front end and a rear end; an implementassociated with the housing; at least one front wheel supporting thefront end of the housing upon a ground surface; two rear wheelssupporting the rear end of the housing upon the ground surface; animplement motor supported by the housing; a propulsion system supportedby the housing and operably coupled to the rear wheels, wherein thepropulsion system is adapted to control speed and rotational directionof the two rear wheels independently, thereby controlling both speed anddirection of the housing over the ground surface; an obstacle sensingcircuit positioned to detect an obstacle in the direction of the frontor rear end of the housing; and a controller operably coupled to thepropulsion system and the obstacle sensing circuit. The controller isadapted to autonomously: determine planned rotations of the housingbased on a predetermined terrain map and a current travel path; detectan obstacle along the current travel path to a destination waypoint in awork region using the obstacle sensing circuit; determine whether thedestination waypoint is a next coordinate within a current zone or astarting coordinate within a new zone of the work region; in response tothe destination waypoint being a next coordinate within the currentzone, avoid the obstacle using a command to the propulsion system topropel the housing along the current travel path until contact with theobstacle is made and taking evasive action; and command the propulsionsystem to propel the housing toward the destination waypoint afteravoiding the obstacle.

In illustrative embodiment C2, a machine comprises the machine accordingto any C embodiment, wherein the controller is further adapted toautonomously: in response to the destination waypoint being a startingcoordinate, avoid the obstacle using a command to the propulsion systemto propel the housing along the current travel path until contact withthe obstacle is made or to rotate the housing before contact with theobstacle is made.

In illustrative embodiment C3, a machine comprises the machine accordingto embodiment C2, wherein avoiding the obstacle comprises determiningwhether to rotate the housing clockwise or counter-clockwise based onopen area available in the work region.

In illustrative embodiment D1, a method or machine comprises the methodor machine according to any A, B, or C embodiment, wherein applied wheeltorque is limited in response to a measured pitch or roll of themachine.

In illustrative embodiment D2, a method or machine comprises the methodor machine according to any D embodiment, wherein a maximum tractionforce is determined based on mass property data and the measured pitchor roll of the machine and the applied wheel torque is limited based onthe maximum traction force.

In illustrative embodiment D3, a method or machine comprises the methodor machine according to any D embodiment, wherein certain maneuvers ofthe machine are determined to be eligible based on the measured pitch orroll of the machine.

Thus, various embodiments of autonomous grounds maintenance machineswith path planning for trap and obstacle avoidance are disclosed.Although reference is made herein to the accompanying set of drawingsthat form part of this disclosure, one of at least ordinary skill in theart will appreciate that various adaptations and modifications of theembodiments described herein are within, or do not depart from, thescope of this disclosure. For example, aspects of the embodimentsdescribed herein may be combined in a variety of ways with each other.Therefore, it is to be understood that, within the scope of the appendedclaims, the claimed invention may be practiced other than as explicitlydescribed herein.

It will be understood that each block of the block diagrams andcombinations of those blocks can be implemented by means for performingthe illustrated function.

All references and publications cited herein are expressly incorporatedherein by reference in their entirety into this disclosure, except tothe extent they may directly contradict this disclosure.

All scientific and technical terms used herein have meanings commonlyused in the art unless otherwise specified. The definitions providedherein are to facilitate understanding of certain terms used frequentlyherein and are not meant to limit the scope of the present disclosure.

What is claimed is:
 1. A method of operation for an autonomous machine,comprising: determining a travel path for the machine to reach adestination waypoint in a work region; determining that the travel pathwill traverse a problem area based on a predetermined terrain map, thepredetermined terrain map indicating a risk of immobility of the machinedue a grade in the problem area; determining planned rotations of themachine along the travel path, the planned rotations orienting themachine to increase traction of the machine in the problem area; andcommanding the machine to propel along the travel path based on theplanned rotations.